Evidence map›Paper›PMID 41083709›Full record

ArticleScientific reports2025

The metabolomic profile of a high starch versus no starch diet in athletic horses.

Emma Nilsson, Ali A Moazzami, Jan Erik Lindberg, Anna Jansson

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Emma NilssonDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, P.O. Box 7011, 750 07, Uppsala, Sweden. emma.l.nilsson@slu.se.
Ali A MoazzamiDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Jan Erik LindbergDepartment of Applied Animal Science and Welfare, Swedish University of Agricultural Sciences, P.O. Box 7024, 75007, Uppsala, Sweden.
Anna JanssonDepartment of Animal Biosciences, Swedish University of Agricultural Sciences, P.O. Box 7011, 750 07, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feeding a high amount of starch-rich grains is common practice for performance horses even though the horse has evolved to eat a grass based, i.e. low starch diet. To our knowledge, there are no studies using metabolomics to investigate the effects of a high-starch diet in horses. In this study we investigated differences in the plasma metabolic profile of 6 Standardbred horses fed a no-starch, forage-only (F) diet or a high-starch forage-concentrate (FC) diet for 29 days, respectively in a cross-over design. Postprandial plasma samples were collected on the morning of day 25 of each dietary period. Metabolomics analysis of plasma using a targeted 1H NMR resulted in the quantification of 52 metabolites. Both a univariate and multivariate analysis of metabolites was performed. The univariate analysis found increased (p < 0.05) plasma concentrations of 2-hydroxybutyrate, citrate, dimethyl sulfone, hippurate, methionine, myo-inositol and proline in diet F and higher concentrations of glycine in diet FC. A PLS-DA analysis could discriminate between diets with good predictive power (Q2 (cum) = 0.745, p = 0.032 in CV-ANOVA). We conclude that diet F was strongest identified by metabolites originating from host-microbial co-metabolism and that the clear metabolomic profile discrimination between diets may have implications for health, performance and behaviour.

Indexed as

Animal FeedDietMetabolomeMetabolomicsStarchAnimalsFemaleHorsesMaleStarchDietForageMetabolomicsMicrobiotaNMRPlasmaStarch

Identifiers

PMID41083709
PMCPMC12518770

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